Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers-Assisted Sublanguage Analysis

Review Medicine, Research & Experimental

Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review

Sunyang Fu et al.

Summary: An increasing number of studies are using natural language processing (NLP) to extract clinical information from electronic health records (EHRs) for observational research. However, there is currently a lack of standardized reporting guidelines for NLP-assisted observational studies, which may lead to ambiguity, knowledge gaps, and reproducibility challenges. To address these issues, a scoping review was conducted to examine the reporting practices of NLP-assisted observational studies, revealing a high variation in reporting practices, including inconsistent use of references, variation in reporting location, and different levels of detail in NLP methodology and evaluation.

CTS-CLINICAL AND TRANSLATIONAL SCIENCE (2023)

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Review Oncology

Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing

Liwei Wang et al.

Summary: This review assesses the use of natural language processing (NLP) in electronic health records (EHRs) for cancer research and patient care. The findings highlight the need for additional data elements beyond the Minimal Common Oncology Data Elements (mCODE) for comprehensive analysis and evaluation. The review also identifies challenges and barriers in the adoption of NLP methods for cancer research and patient care.

JCO CLINICAL CANCER INFORMATICS (2022)

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Article Genetics & Heredity

Family history assessment significantly enhances delivery of precision medicine in the genomics era

Yasmin Bylstra et al.

Summary: The study demonstrated that collecting and analyzing comprehensive family history and genomic data are complementary and can prioritize individuals for genomic analysis. Family history remains a critical component of health risk assessment, providing important actionable data when implementing genomics screening programs.

GENOME MEDICINE (2021)

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Article Medical Informatics

Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition

Feichen Shen et al.

Summary: The n2c2/OHNLP FH extraction task aimed to standardize evaluation and system development on FH extraction, with 17 teams participating and top performance by Harbin Institute of Technology. Results indicate that relation extraction from FH is more challenging than entity identification task.

JMIR MEDICAL INFORMATICS (2021)

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Review Computer Science, Interdisciplinary Applications